Aktueller Stand

Column

Infektionen Schüler

Column

Infektionen Lehrkräfte

Zeitlicher Verlauf der Infektionen

Row

Inhaltlicher Verlauf

Row

Beschreibung

Beschreibung Graphik.

Quarantäne in Schulen

Column

Quarantäne von Schülern

Column

Quarantäne von Lehrkräften

Tabellen Bundesländer

Germany (overall)

Column

Count of COVID-19 Infected pupils

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Baden-Württemberg

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Bavaria

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Berlin

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Brandenburg

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Bremen

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Hamburg

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Hesse

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Lower Saxony

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Mecklenburg-Vorpommern

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

North Rhine-Westphalia

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Rhineland-Palatinate

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Saarland

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Saxony

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Saxony-Anhalt

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Schleswig-Holstein

Column

Count of COVID-19 Infected pupils

Count of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.

Thuringia

Column

Forecast of COVID-19 Infected pupils

Forecast of COVID-19 Infected teacher

Column

Vorhersage

The model is also developed as an age-structured model. It is adopted by deterministic SEIR (Susceptible-Exposed-Infectious-Recovered) model with additional compartments for the hospitalized, intensive unit, long-COVID and death. The rates of infection corresponding age groups depend on the social contacts by POLYMOD study. The model is fitted to reported cases from KMK and RKI (survstat). The fitted parameters are used to predict the number of cases in schools. We consider the last two weeks reported data to show two weeks forecasts. The forecasts is shown in student and teacher/teaching staff cases.